Teaching Assistant – ESE 5460: Deep Learning Principle

I will serve as a graduate TA for ESE 5460 in Fall 2025.

Office Hours

• Time: TBA
• Location: TBA

Quick Policies

1. One big question (or two short ones) per visit.
   Re-enter the queue if you need more time—this keeps things fair when deadlines loom.

2. Come prepared.
   Before you hop into the queue, make sure you’ve done the checklist below.
   • Have your code running at the exact error or section.
   • Write a short queue description (e.g., “HW1 Q3: training loss behaving oddly”).
   • Check Ed Discussion first; your answer might already be there.

3. Share, don’t outsource.
   I’ll help you reason through problems, but won’t hand over finished code.

4. Be kind.
   Everyone’s here to learn—patience and respect go a long way.

Q&A Outside Office Hours

We’ll use Ed Discussion for async questions. Find it in Canvas under “Ed Discussion” on the left sidebar. Please search before posting to avoid duplicates.

Looking forward to working with you—see you soon!